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Obtaining dispersal estimates for a species is key to understanding local adaptation and population dynamics and to implementing conservation actions. Genetic isolation-by-distance (IBD) patterns can be used for estimating dispersal, and these patterns are especially useful for marine species in which few other methods are available. In this study, we genotyped coral reef fish (Amphiprion biaculeatus) at 16 microsatellite loci across eight sites across 210 km in the central Philippines to generate fine-scale estimates of dispersal. All sites except for one followed IBD patterns. Using IBD theory, we estimated a larval dispersal kernel spread of 8.9 km (95% confidence interval of 2.3-18.4 km). Genetic distance to the remaining site correlated strongly with the inverse probability of larval dispersal from an oceanographic model. Ocean currents were a better explanation for genetic distance at large spatial extents (sites greater than 150 km apart), while geographic distance remained the best explanation for spatial extents less than 150 km. Our study demonstrates the utility of combining IBD patterns with oceanographic simulations to understand connectivity in marine environments and to guide marine conservation strategies.

Paleoceanographic proxy archives encode information about the marine environment, which can yield key insights into past climate variability. In particular, marine calcifiers' stable oxygen isotopic composition (δ18Ocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{carb}}$) tells us about seawater temperature and oxygen isotope composition. Here, we use a proxy system model (PSM) framework to systematically evaluate the drivers of skeletal/shell δ18Ocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{carb}}$ in three taxa of fast‐growing marine calcifiers (crustose coralline algae, bivalves, and sclerosponges) from disparate locations, including high latitudes and deeper waters. We evaluate the impact of the quality of environmental data, the recording season in which the calcifier might document the environmental variability, and the importance of uncertainties on the PSM. Whereas the overall PSM‐modeled δ18Opseudocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{pseudocarb}}$ captured the measured δ18Ocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{carb}}$ well at some locations, local environmental variability derived from a reanalysis product and chronological uncertainties limit the ability to effectively model δ18Ocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{carb}}$ at other locations. Using the PSM approach we highlight the complexity of interpreting δ18Ocarb ${{\delta }^{18}\mathrm{O}}_{\mathrm{carb}}$ as seawater temperature and oxygen isotope composition in these remote locations. Plain Language Summary: Marine stony algae, clams, and sponges, form hard skeletons or shells and can live for hundreds of years, making them important recorders of their environment. Chemical measurements of the hard parts of these marine organisms capture changes in seawater temperature and how water cycles between the ocean and atmosphere as rainfall, both of which are changing due to human activities. By measuring the chemistry throughout the lifespan of the organisms, we can understand environmental variability before and since these human pressures. We test a simple model that relates the environmental changes to the chemical composition recorded in the hard parts of these marine organisms across a geographical range of ocean environments. We evaluate the importance of the quality of the environmental data, biological information about the growth of the organism, and uncertainty in the measurement itself on the model's effectiveness. We find that the model performs well at some locations, supporting its applications to these diverse types of marine life from different locations. Key Points: Proxy system modeling captures oxygen isotopic composition of marine calcifiersQuality of environmental data, calcifier growth characteristics, and age uncertainties impact model performanceAnalysis emphasizes the importance of strong environmental signals [ABSTRACT FROM AUTHOR]

Background: Molecular analysis of fine‐needle aspiration biopsies (FNAB) improves the diagnostic accuracy of cytologically indeterminate thyroid nodules (ITNs). Recently, the use of MPTXv2 has been shown to further improve the accuracy of risk stratification of ITNs. Methods: A total of 338 patient samples with atypia of undetermined significance (n = 258) or follicular neoplasm (n = 80) cytology diagnosis and corresponding surgical outcomes or clinical follow‐up, collected between 2016 and 2020 were included [Correction added on 19 June 2024, after first online publication: In the preceding sentence, the n values 260 and 78 have been changed to 258 and 80, respectively.]. All samples underwent multiplatform testing (MPTXv1), which includes an oncogene panel (ThyGeNEXT®) plus a microRNA risk classifier (ThyraMIR®). A blinded, secondary analysis was performed to assess the added utility of MPTXv2 (ThyraMIR®v2). The average length of follow‐up for the surveillance group (n = 248) was 30 months. Results: Sensitivity at moderate threshold was 96% and specificity at positive threshold was 99% for MPTXv2. At 14% disease prevalence, the negative predictive value at the moderate threshold was 99% and the positive predictive value at the positive threshold was 89% for MPTXv2. MPTXv2 had fewer patients classified into the moderate‐risk group than MPTXv1, which was statistically significant (p <.001). Using surgical resection, the gold standard for outcomes, MPTXv2 showed a statistically greater area under the curve (p =.028) than MPTXv1, demonstrating greater accuracy for MPTXv2. Conclusion: Both test versions demonstrated robust performance with low false‐positive molecular results. Data suggest that incorporation of MPTXv1, and more recently MPTXv2, into clinical practice within our healthcare network resulted in improved accuracy of ITN risk stratification. The use of MPTXv2 (multi‐platform molecular testing) improves the accuracy of indeterminate thyroid nodule risk stratification. Using surgical resection, the gold standard for outcomes, MPTXv2 showed a statistically greater area under the curve (p =.028) than MPTXv1, demonstrating greater accuracy for MPTXv2. [ABSTRACT FROM AUTHOR]

An increased number of climate proxy records and more refined interpretation of proxy data are crucial to improve projections of future climate at high latitudes, where internal feedbacks amplify warming and established high-resolution climate archives are especially sparse. Encrusting coralline algae are being developed as a mid- to high-latitude marine climate archive. These long-lived algae form a solid high-Mg calcite skeleton with annual growth bands similar to those of trees and tropical corals. The oxygen isotope ratio of the algal skeleton (δ18Oalg) records local environmental and climatic factors, notably sea surface temperature and seawater δ18O. Here we assess the δ18Oalg–climate relationship in diverse environments across the algal habitat range utilizing two species of coralline algae from the genus Clathromorphum. Clathromorphum is widely distributed from the cold-temperate North Atlantic and Pacific to the Arctic Ocean and has recently yielded numerous climate reconstructions of up to 650 years in length. In this study, we calibrate δ18Oalg of four specimens to gridded temperature and salinity data, the latter a proxy for seawater δ18O. These specimens were collected from a variety of algal growth environments across the high-latitude Northern Hemisphere: two specimens from the Aleutian Archipelago, one from the Canadian Arctic, and one from the Gulf of Maine. Low winter temperatures and insolation restrict the months when algae record local climate in the δ18O of their skeletons; we therefore determine these response seasons by correlating monthly temperature and salinity anomalies with annual δ18Oalg anomalies at each site. We then average gridded data over months that correlate significantly (95% confidence interval) for regression with δ18Oalg. While the timing and nature of the climate signal vary across sites, we find significant relationships between δ18Oalg and either temperature or salinity averaged over the response season at three sites. Variation in local climatology among the four sites provides a physical explanation for calibration differences, compounded by uncertainties stemming from the proxy chronology, biological variability, temporal coverage, and sparse historical climate data. This work takes an essential step toward reconstructing high-latitude marine climate patterns with coralline algal δ18O and developing algae proxy system models.

Geochemical proxies of sea surface temperature (SST) and seawater pH (pHsw) in scleractinian coral skeletons are valuable tools for reconstructing tropical climate variability. However, most coral skeletal SST and pHsw proxies are univariate methods that are limited in their capacity to circumvent non-climate-related variability. Here we present a novel multivariate method for reconstructing SST and pHsw from the geochemistry of coral skeletons. Our Scleractinian Multivariate Isotope and Trace Element (SMITE) method optimizes reconstruction skill by leveraging the covariance across an array of coral elemental and isotopic data with SST and pHsw. First, using a synthetic proxy experiment, we find that SMITE SST reconstruction statistics (correlation, accuracy, and precision) are insensitive to noise and variable calibration period lengths relative to Sr/Ca. While SMITE pHsw reconstruction statistics remain relative to δ11B throughout the same synthetic experiment, the magnitude of the long-term trend in pHsw is progressively lost under conditions of moderate-to-high analytical uncertainty. Next, we apply the SMITE method to an array of seven coral-based geochemical variables (B/Ca, δ11B, Li/Ca, Mg/Ca, Sr/Ca, U/Ca & Li/Mg) measured from two Bermudan Porites astreoides corals. Despite a <3.5 year calibration period, SMITE SST and pHsw estimates exhibit significantly better accuracy, precision, and correlation with their respective climate targets than the best single- and dual-proxy estimators. Furthermore, SMITE model parameters are highly reproducible between the two coral cores, indicating great potential for fossil applications (when preservation is high). The results shown here indicate that the SMITE method can outperform the most common coral-based SST and pHsw reconstructions methods to date, particularly in datasets with a large variety of geochemical variables. We therefore provide a list of recommendations and procedures for users to begin implementing the SMITE method as well as an open-source software package to facilitate dissemination of the SMITE method. [ABSTRACT FROM AUTHOR]

The geochemistry of tropical coral skeletons is widely used in paleoclimate reconstructions. However, sub‐aerially exposed corals may be affected by diagenesis, altering the aragonite skeleton through partial dissolution, or infilling of secondary minerals like calcite. We analyzed the impact of intra‐skeletal calcite on the geochemistry (δ18O, Sr/Ca, Mg/Ca, Li/Mg, Li/Ca, U/Ca, B/Ca, Ba/Ca, and Mn/Ca) of a sub‐aerially exposed Porites sp. coral. Each micro‐milled coral sample was split into two aliquots for geochemistry and X‐ray diffraction (XRD) analysis to quantify the direct impact of calcite on geochemistry. We modified the sample loading technique for XRD to detect low calcite levels (1%–2%; total uncertainty = 0.33%, 2σ) in small samples (∼7.5 mg). Calcite content ranged from 0% to 12.5%, with higher percentages coinciding with larger geochemical offsets. Sr/Ca, Li/Mg, Li/Ca, and δ18O‐derived sea‐surface temperature (SST) anomalies per 1% calcite were +0.43°C, +0.24°C, +0.11°C, and +0.008°C, respectively. A 3.6% calcite produces a Sr/Ca‐SST signal commensurate with local SST seasonality (∼1.5°C), which we propose as the cut‐off level for screening calcite diagenesis in paleo‐temperature reconstructions. Inclusion of intra‐skeletal calcite decreases B/Ca, Ba/Ca, and U/Ca values, and increases Mg/Ca values, and can therefore impact reconstructions of paleoclimate and the carbonate chemistry of the semi‐isolated calcifying fluid in corals. This study emphasizes the importance of quantifying fine‐scale calcite diagenesis to identify coral preservation levels and assure robust paleoclimate reconstructions. Key Points: The modified sample loading technique adopted for X‐ray diffraction significantly reduced the uncertainty of calcite measurement down to 0.33%Temperature reconstructions based on Sr/Ca, Li/Mg, and Li/Ca are significantly affected by low levels of intra‐skeletal calcite (1%–2%)Impact of low levels of intra‐skeletal calcite on δ18O, Ba/Ca, Mn/Ca, and U/Ca is not significant [ABSTRACT FROM AUTHOR]

This paper evaluated long-term associations between psychosocial factors and premature mortality among women with suspected coronary artery disease (CAD). We tracked total mortality events over a median 9.3 years in a cohort of 517 women [baseline mean age = 58.3 (11.4) years]. Baseline evaluations included coronary angiography, psychosocial testing, and CAD risk factors. Measures included the Spielberger Trait Anxiety Scale, Beck Depression Inventory, self-rated health, and Social Network Index. Cox regression analysis was used to assess relationships. Covariates included age, CAD risk factors, and CAD severity. BDI scores (HR 1.09, 95 % CI 1.02-1.15), STAI scores (HR .86, 95 % CI .78-.93), and very good self-rated health (relative to the poor self-rated health group; HR .33, 95 % CI .12-.96) each independently predicted time to mortality outcomes in the combined model. SNI scores (HR .91, 95 % CI .81-1.06) and other self-rated health categories (i.e., fair, good, and excellent categories) were not significant mortality predictors after adjusting for other psychosocial factors. These results reinforce and extend prior psychosocial research in CAD populations., Author(s): Thomas Rutledge[sup.1] [sup.2] , Tanya S. Kenkre[sup.3] , Diane V. Thompson[sup.4] , Vera A. Bittner[sup.5] , Kerry Whittaker[sup.6] , Jo-Ann Eastwood[sup.7] , Wafia Eteiba[sup.3] , Carol E. Cornell[sup.8] , [...]

Background: School-based body mass index (BMI) measurement has attracted much attention across the nation from researchers, school officials, legislators, and the media as a potential approach to address obesity among youth. Methods: An expert panel, convened by the Centers for Disease Control and Prevention (CDC) in 2005, reviewed and provided expertise on an earlier version of this article. The panel comprised experts in public health, education, school counseling, school medical care, and a parent organization. This article describes the purposes of BMI measurement programs, examines current practices, reviews existing research, summarizes the recommendations of experts, identifies concerns, and provides guidance including a list of safeguards and ideas for future research. Results: The implementation of school-based BMI measurement for surveillance purposes, that is, to identify the percentage of students in a population who are at risk for weight-related problems, is widely accepted; however, considerable controversy exists over BMI measurement for screening purposes, that is, to assess the weight status of individual students and provide this information to parents with guidance for action. Although some promising results have been reported, more evaluation is needed to determine whether BMI screening programs are a promising practice for addressing obesity. Conclusions: Based on the available information, BMI screening meets some but not all of the criteria established by the American Academy of Pediatrics for determining whether screening for specific health conditions should be implemented in schools. Schools that initiate BMI measurement programs should evaluate the effects of the pro- gram on BMI results and on weight-related knowledge, attitudes, and behaviors of youth and their families; they also should adhere to safeguards to reduce the risk of harming students, have in place a safe and supportive environment for students of all bods, and implement science-based strategies to promote physical activity and healthy eating. (Contains 4 tables.)